had delays to diagnosis and treatment initiation, and difficulty accessing other interventions such as physiotherapy, because of the COVID‑19 pandemic.
The EAG acknowledged that using the pooled data may have introduced bias against cerliponase alfa because it included people who had delays and interruptions to their treatment. The committee considered the company's justification for using data from study 190‑203. At the first committee meeting, it decided that the population in study 190‑203 likely reflected a population that starts treatment at a younger age and with less progressed disease than is currently seen in the NHS without newborn genetic screening, which may have introduced bias in favour of cerliponase alfa. The committee acknowledged that the COVID‑19 pandemic may have meant that data collected during the MAA period underestimated the benefits of cerliponase alfa (see section 3.4). At the first meeting, the committee requested an analysis using the pooled data but excluding data from the MAA. The company provided that analysis for the second committee meeting but maintained its preference for using data from study 190‑203. The company reiterated that data from study 190‑201 and 190‑202 included people who had a delay to starting treatment because cerliponase alfa was not available when they were first diagnosed. The company noted that data from study 190‑201 included data from people who had disease progression during the study's dose-escalation phase. The clinical experts explained that delays to having cerliponase alfa would lead to worse outcomes. They would expect that progression from the more progressed health states would be slower in people who started treatment with less progressed disease than in people who started treatment in the more progressed health states.
At the second committee meeting, the EAG maintained that study 190‑203 may not have reflected the population who would have cerliponase alfa in NHS clinical practice and may have overestimated the effectiveness of cerliponase alfa. The EAG noted that, when the baseline distribution informed by its clinical experts' estimates of clinical practice in 5 years' time (see section 3.7) was used with the study 190‑203 data, the average time in health state 1 for the modelled cohort was 22 years. This was compared with 11 years when the pooled data was used, including data from the MAA. The clinical expert explained that, although children who start treatment with an ML score of 6 have been seen to maintain that score for several years, it is unlikely their condition would not progress for 22 years. The EAG explained that the pooled data, including data from the MAA, reflected most of the existing evidence based on sample size and length of follow up.
The committee remained concerned that the population in study 190‑203 may not have reflected the population that would have cerliponase alfa in NHS clinical practice. It was also concerned that study 190‑203 was based on a small sample size and had limited follow up. It agreed that using study 190‑203 data generated estimates of the time spent with an ML score of 6 that appeared implausible. The committee discussed the assumption that, after 6 years, 'initial stabilisers' would transition to worse health states at half the rate of people who entered the model in any other health state. It decided this may mitigate some of the effect of delayed treatment initiation and difficulty accessing other interventions that people in study 190‑201/202 and the MAA had. The committee concluded that the pooled data, including data from the MAA, was reasonable for decision making.
After the second committee meeting, the company said that its advisory board suggested there was a consensus among clinical experts that study 190‑203 best reflected people who would have cerliponase alfa in the NHS. At the third meeting, the committee recalled its discussion on the appropriate baseline distribution (see section 3.7). It thought that, given its updated preferred baseline distribution based on updated clinical opinion, study 190‑203 was more likely than the pooled data to reflect current NHS clinical practice. But the committee also recalled the limitations of the data from study 190‑203. The committee asked the company and EAG if any alternative data sources were available, given the limitations of both the pooled data and the data from study 190‑203. The EAG and the company responded that no alternative data sources were available. The EAG explained that the uncertainties and potential bias of each data source needed to be considered. The EAG advised that the 'initial stabiliser' assumptions (see section 3.8 and section 3.9) amplified the impact of using data from study 190‑203. The EAG explained that this was because study 190‑203 had a much higher proportion of people in health state 1. It thought that applying the 'initial stabiliser' assumptions to data from study 190‑203 may have double-counted the benefits of starting treatment earlier with less progressed disease. The EAG also noted that the pooled data had to be used to inform transitions from health states 6 and 7 because these transitions were not seen in study 190‑203.
The committee acknowledged the limitations of the pooled data. It concluded that, after considering the advantages and disadvantages of both the data from study 190‑203 and the pooled data, it still preferred using the pooled data (including data from the MAA) for decision making. The committee noted that, when the pooled data was used with the 'most realistic' estimate of ML score distribution at the time of diagnosis in 5 years' time from the company's advisory board and the committee's other preferred assumptions, the model assumed that the average time in health state 1 for the modelled cohort was less than 20 years. The committee understood that, because of the relatively short follow-up periods in the studies, it was not known how long people would spend in health state 1. The clinical experts advised that it may be possible to be in health state 1 for up to 20 years, but that this was likely overly optimistic.
In response to consultation, the company and patient group maintained that the data from study 190‑203 most closely reflected current diagnosis, referral and treatment. The company reiterated the limitations associated with the pooled data. The committee recalled that it had concluded that study 190‑203 was more likely than the pooled data to reflect current NHS clinical practice. But it also recalled that both the data from study 190‑203 and the pooled data had limitations. The EAG reiterated its concern that applying the 'initial stabiliser' assumptions to data from study 190‑203 may have double counted the benefits of starting treatment earlier with less progressed disease. It provided estimates for the expected time spent in health state 1 for someone who starts treatment in health state 1, after applying the 'initial stabiliser' assumptions to the pooled data and data from study 190‑203. When the pooled data was used, the expected time in health state 1 was 19.6 years. But when the study 190‑203 data was used the expected time was 34.5 years.
The committee recalled earlier testimony from the clinical experts outlining that how long someone would spend in health state 1 was uncertain, and that up to 20 years may be possible but likely overly optimistic. The committee did not hear any justification for the estimate of 34.5 years in health state 1 produced by applying the 'initial stabiliser' assumptions to the data from study 190‑203. The committee recalled that the EAG explained that, when the study 190‑203 data was used without applying the 'initial stabiliser' assumptions, the expected time spent in health state 1 for someone starting treatment in this health state was almost identical to when the 'initial stabiliser' assumptions were applied to the pooled data. It thought that applying the 'initial stabiliser' assumptions to data from study 190‑203 likely double counted the benefits of starting treatment earlier with less progressed disease. The committee concluded that, when used with the 'initial stabiliser' assumptions, the pooled data (despite its limitations) produced more plausible estimates of time spent in health state 1. So, it concluded that this data should be used for decision making. The committee also concluded that it would take the uncertainty of using the pooled data in the long-term treatment effect of cerliponase alfa into account in its decision making.